Unifying Task-Oriented Knowledge Graph Learning and Recommendation. - Qianyu Li 002; Xiaoli Tang 001; Tengyun Wang; Haizhi Yang; Hengjie Song (IEEE Access, 2019)

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution. - Xiaoli Tang 001; Rui Yuan; Qianyu Li 002; Tengyun Wang; Haizhi Yang; Yundong Cai; Hengjie Song (IEEE Access, 2020)

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. - Haizhi Yang; Tengyun Wang; Xiaoli Tang 001; Qianyu Li 002; Yueyue Shi; Siyu Jiang; Han Yu 001; Hengjie Song (CIKM, 2021)

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. - Tengyun Wang; Haizhi Yang; Siyu Jiang; Yueyue Shi; Qianyu Li 002; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Knowl. Based Syst., 2022)

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (ICME, 2023)

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (IJCAI, 2023)

Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Has Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (CoRR, 2023)

Multi-Session Budget Optimization for Forward Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (CoRR, 2023)

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. - Haizhi Yang; Tengyun Wang; Xiaoli Tang 001; Han Yu 001; Fei Liu 006; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2023)

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion. - Qianyu Li 002; Jiale Yao; Xiaoli Tang 001; Han Yu 001; Siyu Jiang; Haizhi Yang; Hengjie Song (Neural Networks, 2023)

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment. - Yuliang Shi; Lin Cheng; Cheng Jiang; Hui Zhang; Guifeng Li; Xiaoli Tang 001; Han Yu 001; Zhiqi Shen 001; Cyril Leung (AAAI, 2024)

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. - Hao Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (AAAI, 2024)

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. - Qianyu Li 002; Xiaoli Tang 001; Siyao Zhou 004; Han Yu 001; Hengjie Song; Lizhen Cui; Xiaoxiao Li (ICME, 2024)

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning. - Xiaoli Tang 001; Han Yu 001; Xiaoxiao Li (ICME, 2024)

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. - Hongyi Peng; Han Yu 001; Xiaoli Tang 001; Xiaoxiao Li (ICML, 2024)

Intelligent Agents for Auction-based Federated Learning: A Survey. - Xiaoli Tang 001; Han Yu 001; Xiaoxiao Li; Sarit Kraus (IJCAI, 2024)

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001; Zengxiang Li; Xiaoxiao Li (IJCAI, 2024)

Dual Calibration-based Personalised Federated Learning. - Xiaoli Tang 001; Han Yu 001; Run Tang; Chao Ren 006; Anran Li 001; Xiaoxiao Li (IJCAI, 2024)

Stakeholder-oriented Decision Support for Auction-based Federated Learning. - Xiaoli Tang 001 (IJCAI, 2024)

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. - Qianyu Li 002; Jiebin Chen; Xiaoli Tang 001; Han Yu 001; Hengjie Song (IJCNN, 2024)

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (IJCNN, 2024)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. - Mengmeng Chen; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew Soon Ong; Qiqi Liu; Qicheng Lao; Han Yu 001 (NeurIPS, 2024)

Advances and Open Challenges in Federated Learning with Foundation Models. - Chao Ren 006; Han Yu 001; Hongyi Peng; Xiaoli Tang 001; Anran Li 001; Yulan Gao; Alysa Ziying Tan; Bo Zhao; Xiaoxiao Li; Zengxiang Li; Qiang Yang 001 (CoRR, 2024)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. - Zhilong Li; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew-Soon Ong; Mengmeng Chen; Qiqi Liu; Qicheng Lao; Han Yu 001 (CoRR, 2024)

Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (IEEE Internet Things J., 2024)

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. - Qianyu Li 002; Bozheng Feng; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Neural Networks, 2024)

Reputation-aware Revenue Allocation for Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (AAAI, 2025)

Fairness-Aware Reverse Auction-Based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (IEEE Internet Things J., 2025)

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning. - Xiaoli Tang 001; Han Yu 001 (ACM Comput. Surv., 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning. - Xiaoli Tang 001; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)